LENOVO T14 Gen5 Intel LENOVO 21MMSEL300
Geekbench AI Score
1231
Single Precision Score
500
Half Precision Score
2149
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| Upload Date | March 12 2025 07:20 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21MMSEL300 |
| Motherboard | LENOVO 21MMSEL300 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
99% |
1878
350.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
7951
9.32 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
1036
83.3 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (Q)
|
97% |
3182
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3298
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
5885
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3527
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2359
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8751
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1269
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.7 IPS |
|
|
Text Classification (HP)
|
100% |
381
509.1 IPS |
|
|
Text Classification (Q)
|
97% |
578
773.7 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
65% |
995
20.0 IPS |
